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Maruca vitrata  Fabricius (Lepidoptera: Crambidae) is a polyphagous insect pest that feeds on a variety of leguminous plants in the tropics and subtropics. The contribution of host-associated genetic variation on population structure was investigated using analysis of mitochondrial cytochrome oxidase 1 ( cox1 ) sequence and microsatellite marker data from  M .  vitrata  collected from cultivated cowpea ( Vigna unguiculata  L. Walp.), and alternative host plants  Pueraria phaseoloides  (Roxb.) Benth. var.  javanica  (Benth.) Baker,  Loncocarpus sericeus  (Poir), and  Tephrosia candida  (Roxb.). Analyses of microsatellite data revealed a significant global  F ST   estimate of 0.05 ( P ≤0.001). The program STRUCTURE estimated 2 genotypic clusters (co-ancestries) on the four host plants across 3 geographic locations, but little geographic variation was predicted among genotypes from different geographic locations using analysis of molecular variance (AMOVA; among group variation −0.68%) or  F -statistics ( F   ST    Loc   = −0.01;  P  = 0.62). These results were corroborated by mitochondrial haplotype data ( φ ST  Loc   = 0.05;  P  = 0.92). In contrast, genotypes obtained from different host plants showed low but significant levels of genetic variation ( F   ST   Host  = 0.04;  P  = 0.01), which accounted for 4.08% of the total genetic variation, but was not congruent with mitochondrial haplotype analyses ( φ ST  Host   = 0.06;  P  = 0.27). Variation among host plants at a location and host plants among locations showed no consistent evidence for  M. vitrata  population subdivision. These results suggest that host plants do not significantly influence the genetic structure of  M. vitrata , and this has implications for biocontrol agent releases as well as insecticide resistance management (IRM) for  M. vitrata  in West Africa.

plos one

Genetic Differentiation among Maruca vitrata F. (Lepidoptera: Crambidae) Populations on Cultivated Cowpea and Wild Host Plants: Implications for Insect Resistance Management and Biological Control Strategies